Author

Yu-Bo Cao

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Preprint Nov 2026

Mesh2Shell Neural Operator for Inverse Shape Optimization

Physics-driven design seeks high-performing geometries, which need not conform to a learned shape category. Parametric and latent-space approaches facilitate surrogate-based optimization, but restrict deformations to prescribed shape families or learned decoders. We introduce the Mesh-to-Shell Neural Operator (M2S-NO)...

Xin-Yi Li, Xi Deng, Yu-Bo Cao et al. · 0 citations

#artificial intelligence Preprint Sep 2026

PTNO: Training Neural Operators with Noisy Monte Carlo Estimates for Particle Transport Problems

Particle transport under multiple scattering is central to radiative transfer and plasma physics, yet high-fidelity Monte Carlo (MC) simulations must trace prohibitively many particles. Learning-based surrogates can amortize this cost, but typically train on expensive, well-converged MC solutions. We propose the Partic...

Yu-Bo Cao, Xi Deng, Meng-Qi Xia et al. · 0 citations